319 citations · 456 across the 17 of their papers we have counts for
7 papers · 1 filter
Evaluating self-supervised echocardiographic representations across downstream extraction strategies for left-ventricular segmentation and ejection fraction estimation
Sylwia Majchrowska, Philip Teare
Self-supervised learning (SSL) is increasingly used in medical imaging to reduce annotation requirements, but representation quality is often judged using a single downstream evalu…
Unlocking the Heart Using Adaptive Locked Agnostic Networks
Sylwia Majchrowska, Anders Hildeman, Philip Teare +1
Supervised training of deep learning models for medical imaging applications requires a significant amount of labeled data. This is posing a challenge as the images are required to…
Self-Normalized Density Map (SNDM) for Counting Microbiological Objects
Krzysztof M. Graczyk, Jaroslaw Pawlowski, Sylwia Majchrowska +1
The statistical properties of the density map (DM) approach to counting microbiological objects on images are studied in detail. The DM is given by U-Net. Two statistical metho…
Generation of microbial colonies dataset with deep learning style transfer
Jarosław Pawłowski, Sylwia Majchrowska, Tomasz Golan
We introduce an effective strategy to generate an annotated synthetic dataset of microbiological images of Petri dishes that can be used to train deep learning models in a fully su…
Deep neural networks approach to microbial colony detection -- a comparative analysis
Sylwia Majchrowska, Jarosław Pawłowski, Natalia Czerep +3
Counting microbial colonies is a fundamental task in microbiology and has many applications in numerous industry branches. Despite this, current studies towards automatic microbial…
AGAR a microbial colony dataset for deep learning detection
Sylwia Majchrowska, Jarosław Pawłowski, Grzegorz Guła +7
The Annotated Germs for Automated Recognition (AGAR) dataset is an image database of microbial colonies cultured on agar plates. It contains 18000 photos of five different microorg…
Waste detection in Pomerania: non-profit project for detecting waste in environment
Sylwia Majchrowska, Agnieszka Mikołajczyk, Maria Ferlin +4
Waste pollution is one of the most significant environmental issues in the modern world. The importance of recycling is well known, either for economic or ecological reasons, and t…